A 3D Bioprinted Gut Anaerobic Model for Studying Bacteria-Host Interactions.


Journal

Research (Washington, D.C.)
ISSN: 2639-5274
Titre abrégé: Research (Wash D C)
Pays: United States
ID NLM: 101747148

Informations de publication

Date de publication:
2023
Historique:
received: 27 10 2022
accepted: 04 01 2023
medline: 12 4 2023
entrez: 11 4 2023
pubmed: 12 4 2023
Statut: ppublish

Résumé

The role of the human intestinal tract in host-microbe interactions has been highlighted in recent years. Several 3-dimensional (3D) models have been developed to reproduce the physiological characteristics of the human gut and to investigate the function of the gut microbiota. One challenge for 3D models is to recapitulate the low oxygen concentrations in the intestinal lumen. Moreover, most earlier 3D culture systems used a membrane to physically separate bacteria from the intestinal epithelium, which has sometimes made the studies of bacteria adhering to or invading cells less feasible. We report the establishment of a 3D gut epithelium model and cultured it at high cell viability under an anaerobic condition. We further cocultured intestinal bacteria including both commensal and pathogen directly with epithelial cells in the established 3D model under the anaerobic condition. We subsequently compared the gene expression differences of aerobic and anaerobic conditions for cell and bacterial growth via dual RNA sequencing. Our study provides a physiologically relevant 3D gut epithelium model that mimics the anaerobic condition in the intestinal lumen and supplies a powerful system for future in-depth gut-microbe interactional investigations.

Identifiants

pubmed: 37040488
doi: 10.34133/research.0058
pii: 0058
pmc: PMC10076011
doi:

Types de publication

Journal Article

Langues

eng

Pagination

0058

Informations de copyright

Copyright © 2023 Liqin Cheng et al.

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Auteurs

Liqin Cheng (L)

Centre for Translational Microbiome Research (CTMR), Department of Microbiology, Tumor, and Cell Biology, Karolinska Institutet, Stockholm, Sweden.

Tingting Liu (T)

Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, 65 Landsdowne Street, Cambridge, MA 02139, USA.

Qiongg Liu (Q)

Centre for Translational Microbiome Research (CTMR), Department of Microbiology, Tumor, and Cell Biology, Karolinska Institutet, Stockholm, Sweden.
Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, 65 Landsdowne Street, Cambridge, MA 02139, USA.
Science for Life Laboratory, Stockholm, Sweden.

Liming Lian (L)

Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, 65 Landsdowne Street, Cambridge, MA 02139, USA.

Guosheng Tang (G)

Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, 65 Landsdowne Street, Cambridge, MA 02139, USA.

Luis Santiago Mille (LS)

Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, 65 Landsdowne Street, Cambridge, MA 02139, USA.

Fabricio Romero García (FR)

Centre for Translational Microbiome Research (CTMR), Department of Microbiology, Tumor, and Cell Biology, Karolinska Institutet, Stockholm, Sweden.

Lars Engstrand (L)

Centre for Translational Microbiome Research (CTMR), Department of Microbiology, Tumor, and Cell Biology, Karolinska Institutet, Stockholm, Sweden.
Science for Life Laboratory, Stockholm, Sweden.

Yu Shrike Zhang (YS)

Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, 65 Landsdowne Street, Cambridge, MA 02139, USA.

Juan Du (J)

Centre for Translational Microbiome Research (CTMR), Department of Microbiology, Tumor, and Cell Biology, Karolinska Institutet, Stockholm, Sweden.

Classifications MeSH